Small-Sample Properties of Kernel Density Estimators from Randomly Right-Censored Data.

Abstract

The small-sample behavior of two kernel-type density estimators which have been proposed in the literature for randomly right-censored samples is investigated via Monte Carlo simulations. The extensive simulation study was performed for five families of life distributions, two different censoring distributions, three kernel functions, and several bandwidth sequences and for sample sizes from n=20 to n=300. The simulation results reinforce previous theoretical results for the estimators and lead to conjectures about their general behavior asymptotically as well as for small samples. A comparison of the two density estimators is also indicated.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1984
Accession Number
ADA148752

Entities

People

  • D. T. Mcnichols
  • William J. Padgett

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Science
  • Estimators
  • Information Science
  • Kernel Functions
  • Mathematics
  • Monte Carlo Method
  • Plastic Explosives
  • Probability
  • Random Variables
  • Simulations
  • South Carolina
  • Statistical Algorithms
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.